Papers by Twin Karmakharm
A Browser-based Open Source Assistant for Multimodal Content Verification (2026.eacl-demo)
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Rosanna Milner, Michael Foster, Twin Karmakharm, Olesya Razuvayevskaya, Valentin Porcellini, Denis Teyssou, Ian Roberts, Kalina Bontcheva
| Challenge: | Disinformation and advanced generative AI content pose a significant challenge for journalists and fact-checkers who must rapidly verify digital media. |
| Approach: | They propose to integrate a browser-based tool that automatically extracts content from a suite of backend NLP classifiers and presents actionable credibility signals and AI-generation likelihood in an easy-to-digest format. |
| Outcome: | The Verification Assistant is a browser-based tool that extracts content and routes it to a suite of backend NLP classifiers, presenting actionable credibility signals, AI-generation likelihood, and other verification advice in an easy-to-digest format. |
Journalist-in-the-Loop: Continuous Learning as a Service for Rumour Analysis (D19-3)
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| Challenge: | Existing rumour analysis tools do not scale due to the large volume and velocity of user generated content. |
| Approach: | They propose to use a web-based rumour analysis tool that can continuously learn from journalists and integrate it into existing tools and platforms. |
| Outcome: | The proposed system can be easily integrated as a service into existing tools and platforms used by journalists using a REST API. |
GATE Teamware 2: An open-source tool for collaborative document classification annotation (2023.eacl-demo)
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| Challenge: | GATE Teamware 2 is an open-source web-based platform for managing teams of annotators working on document classification tasks. |
| Approach: | They present GATE Teamware 2: an open-source web-based platform for managing teams of annotators working on document classification tasks. |
| Outcome: | GATE Teamware 2 is an open-source web-based platform for managing teams of annotators working on document classification tasks. |